9 AI Trends That Will Revolutionize Data Science March 15th, 2024 By Shane Barker in Data Strategy Shane Barker is a digital marketing consultant who specializes in influencer marketing, content marketing, and SEO. He is also the co-founder and CEO of Content Solutions, a digital marketing agency.…
Data ‘Poka-Yoking’ With Data Observability for the Modern Data Stack March 15th, 2024 By Loretta Jones in Data Strategy Loretta Jones is VP of Growth at Acceldata.io with extensive experience in marketing to SMBs, mid-market companies, and enterprise organizations. She is a self-proclaimed "startup junkie” who credits her degree…
Cloud Migration- Process, Types, and Strategy February 2nd, 2024 By Boudhayan Ghosh in Data Strategy Cloud Migration is one of the most crucial areas of the data science ecosystem. As data is growing more rapidly than ever, analyzing the data is becoming even more important…
What is a Data Stack: Everything You Need To Know February 2nd, 2024 By Jalaj Jain in Data Strategy The field of data management is rapidly evolving as the volume and complexities of data continue to grow. In recent years, tools and technologies have revolutionized how organizations deal with…
10 Best Cloud Data Services Tools for 2024 February 2nd, 2024 By Jalaj Jain in Data Strategy In the age of exponentially growing digital information, cloud data services tools have become a one-stop solution to help businesses store, process, and manage data. The associated benefits of scalability,…
What is Big Data Computing? February 2nd, 2024 By Boudhayan Ghosh in Data Strategy In the current digital landscape, data is produced whenever you use apps or browse on Google. Consequently, this generates extensive pools of valuable information that companies and organizations manage, store,…
What is a Data Marketplace? Uses and Best Practices February 2nd, 2024 By Suchitra Shenoy in Data Strategy In this era of data-driven decision-making and actionable insights, businesses are increasingly recognizing the value of harnessing vast data sources to stay competitive. If you’re looking to uncover new opportunities,…
Cloud Data Analytics: Workings, Benefits, Best Practices, Tools December 29th, 2023 By Jalaj Jain in Data Strategy Globally, an increasing number of data-driven organizations are using cloud platforms to efficiently utilize their data assets. As per recent data, over 80% of organizations use cloud environments to perform…
Enhancing Visibility: Leveraging Cloud Logging Services December 29th, 2023 By Suchitra Shenoy in Data Strategy With enterprises transitioning from on-premise infrastructure to cloud environments, there is an increasing need for visibility across distributed systems, performance management, security, and compliance. This requires careful operational monitoring. Monitoring…
Data Stewardship- Frameworks & Best Practices December 29th, 2023 By Jalaj Jain in Data Strategy As data use cases and data diversity are constantly increasing, managing data effectively is the top priority for data-driven organizations. While there are many tools to handle data management, you…
Data Lifecycle Management: Stages, Best Practices, Benefits December 29th, 2023 By Jalaj Jain in Data Strategy Increased reliance on data brings many responsibilities and challenges, like data management, security, and maximizing the data potential. This is where Data Lifecycle Management (DLM) comes into play. What is…
Data Migration: Strategies and Best Practices December 29th, 2023 By Tejaswini Kasture in Data Strategy Imagine your organization is transitioning to an improvised CRM system. In this scenario, you must ensure that all your important customer information in CRM makes the move without a hitch.…
Data Compliance Standards: A Comprehensive Approach December 29th, 2023 By Suchitra Shenoy in Data Strategy To deal with the rise of data breaches and cyber-attacks, we need robust data compliance standards. These standards will be instrumental in protecting sensitive data and ensuring compliance with legal…
Elevating Insights through Effective Data Curation Practices December 29th, 2023 By Boudhayan Ghosh in Data Strategy As organizations gather huge volumes of data from diverse sources, the need to curate this wealth of information becomes increasingly vital today. In this article, we explore the pivotal role…
Data Privacy: 5 Proven Strategies for Compliance and Protection December 29th, 2023 By Tejaswini Kasture in Data Strategy What safeguards are implemented to protect data during transfer and storage? What measures are in place to protect sensitive customer data from unauthorized access? How often are data privacy practices…
Salesforce Apex REST API | Methods and Examples December 28th, 2023 By Suraj Poddar in Data Strategy, Rest API, Sales Operations By integrating your Salesforce org with third-party applications, you can unlock functionalities that are streamlined toward your business use case. That's where the Salesforce Apex REST API comes in. It…
Javascript Lambda Function 2024: Key Features & Best Practices December 27th, 2023 By Davor DSouza in Data Strategy In JavaScript, JavaScript Lambda usually refers to an anonymous function. That is a function that is not named and is typically used as a value supplied to another function to…
5 Database Schema Examples: Best Practices & Critical Aspects December 27th, 2023 By Dharmendra Kumar in Data Strategy Enterprises employ a myriad of dedicated systems for application-specific use-cases. For instance, RDBMSs are used for transactional data, data lakes for raw data workloads, and data warehouses for batch and…
Top 10 Successful Data Analytics Companies in 2024 December 26th, 2023 By Rakesh Tiwari in Data Strategy The emergence of technology as a key driving force in all sectors of the world has led to the generation of massive amounts of data today. Without Data Analytics, companies…
Slowly Changing Dimensions: 5 Key Types and Examples September 27th, 2023 By Suchitra Shenoy in Data Strategy In modern data analytics, organizations utilize data warehouses to store vast amounts of historical data, ensuring data analysts can easily access critical information. The historical data is vital for deriving…